researchclaw-cn

researchclaw-cn is a skill for Claude Code from OthmanAdi/researchclaw-skill. It costs 58 tokens per session (3,063 once invoked), scanned B, original, MIT.

A Chinese-language wrapper for AutoResearchClaw, a 23-stage research pipeline. It can take a research topic through literature review, experiments, paper creation, peer review, and citation checking, provided the underlying software is installed.

In plain words
What is it for?
Use it to set up, configure, validate, run, monitor, resume, or diagnose an AutoResearchClaw research pipeline. The workflow can include real citation searches, sandboxed experiments, and generated research papers.
Why use it?
It organizes many research steps in one process and can resume or diagnose a run. It also reports failures instead of treating missing dependencies or failed checks as successful.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Good fit Use it to set up, configure, validate, run, monitor, resume, or diagnose an AutoResearchClaw research pipeline. The workflow can include real citation searches, sandboxed experiments, and generated research papers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/othmanadi/researchclaw-skill/researchclaw-cn
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OthmanAdi/researchclaw-skill --skill researchclaw-cn
Clone the repo
git clone --depth 1 https://github.com/OthmanAdi/researchclaw-skill

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for researchclaw-cn

README.md
[![agentmods](https://agentmods.dev/badge/skills/othmanadi/researchclaw-skill/researchclaw-cn/github.svg)](https://agentmods.dev/skills/othmanadi/researchclaw-skill/researchclaw-cn)
Your own site
<a href="https://agentmods.dev/skills/othmanadi/researchclaw-skill/researchclaw-cn"><img src="https://agentmods.dev/badge/skills/othmanadi/researchclaw-skill/researchclaw-cn/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for researchclaw-cn

Your own site · 80×15
<a href="https://agentmods.dev/skills/othmanadi/researchclaw-skill/researchclaw-cn"><img src="https://agentmods.dev/badge/skills/othmanadi/researchclaw-skill/researchclaw-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,063 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.03063
Opus 5 $0.00029 $0.01532
Sonnet 5 $0.00012 $0.00613
Haiku 4.5 $0.00006 $0.00306

Measured 10d ago against content hash 9cba0873ca15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

researchclaw-cn scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

4. **LaTeX**:检查 `pdflatex --version`。如果缺失,建议 `sudo apt-get install texlive-full`(Linux)或 `brew install --cask mactex`(macOS)。**如实说明:这是大型下载(2-4 GB)。**
.claude/skills/researchclaw-cn/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ResearchClaw 技能 — 自主研究管线(中文版)

重要提示:本技能需要先安装 AutoResearchClaw 本技能是封装层,不能独立运行。请先安装上游项目,再安装本技能。

本技能封装了 AutoResearchClaw,一个 23 阶段的自主研究管线。输入一个研究主题,即可自动完成从文献综述到论文生成的全流程,包括真实引文检索、沙箱实验执行、多智能体同行评审和引文验证。

诚实原则: 本技能不会虚构功能。每个命令都映射到真实的上游功能。如果某些功能失败,技能会报告实际错误并建议具体的修复方案——绝不假装问题不存在。

命令列表

命令 功能
/researchclaw 显示帮助信息和可用子命令
/researchclaw:setup 检查并安装所有前置依赖(Python、Docker、LaTeX、pip 包)
/researchclaw:config 交互式配置向导 — 生成可用的 config.yaml
/researchclaw:run 启动研究管线
/researchclaw:status 查看管线运行状态
/researchclaw:resume 从上次成功的阶段恢复运行
/researchclaw:diagnose 自动检测并解释常见故障
/researchclaw:validate 运行前验证配置、依赖和连接性

/researchclaw — 帮助

调用时不带子命令,显示命令列表和状态摘要:

  1. 检查 researchclaw CLI 是否已安装:which researchclaw
  2. 检查当前目录是否有 config.yaml
  3. 打印上方命令表
  4. 根据缺失的组件建议下一步操作

/researchclaw:setup — 前置依赖安装

必须:安装任何内容前先征求用户同意。 展示缺失项并获得明确批准。

运行前置检查脚本:

bash "${CLAUDE_SKILL_DIR}/scripts/check-prereqs.sh"

脚本检查每个依赖并输出 JSON 报告。根据报告:

  1. Python 3.11+:检查 python3 --version。如果缺失或版本太旧,建议 pyenv install 3.11 或系统包管理器。
  2. pip / uv:检查 pip3 --versionuv --version。如果没有 uv,建议安装(更快)。
  3. Docker:检查 docker info。如果 Docker 守护进程未运行,如实告知用户——本技能无法在大多数系统上启动 Docker。
  4. LaTeX:检查 pdflatex --version。如果缺失,建议 sudo apt-get install texlive-full(Linux)或 brew install --cask mactex(macOS)。如实说明:这是大型下载(2-4 GB)。
  5. AutoResearchClaw:检查 pip3 show researchclaw。如果未安装:
    pip3 install researchclaw
    
    或从源码安装:
    git clone https://github.com/aiming-lab/AutoResearchClaw.git
    cd AutoResearchClaw
    pip3 install -e ".[all]"
    

中国大陆用户:使用国内镜像加速安装:

pip install researchclaw[all] -i https://pypi.tuna.tsinghua.edu.cn/simple

本技能无法做到的事:

  • 启动 Docker 守护进程(需要系统级权限)
  • 在 Linux 上不用 sudo 安装 LaTeX
  • 修复阻止 API 访问的网络/防火墙问题
  • 提供 LLM API 密钥——用户必须自己提供

/researchclaw:config — 交互式配置向导

Read the full file on GitHub · 291 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 291 lines · 58 tokens per session scan B 9cba0873ca15

Subscribe to this mod's changes

researchclaw-cn is a skill published in the GitHub repository OthmanAdi/researchclaw-skill (20 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 3,063 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.